The images created by generative AI are incredible.  Imagine AI writing RPA code for you.

If you’ve implemented RPA—as Gartner estimates that 90% of organizations have—you know that it is comprised of “bots” or software that automate work. Examples of this include populating forms, scraping data from the Web, logging into applications, and other rote tasks.

Not exactly gripping stuff. Yet their power stems from executing repetitive work performed by humans, freeing them up to perform other critical business functions. A salient example of this can be seen in how the COVID-19 pandemic fueled considerable growth in RPA, as organizations rushed to digitize more business processes.

Like most IT leaders, you’ve probably taken those rules-based bots for granted. Who can blame you? Unlike some of their conversational siblings, these bots don’t sport human names; they’re not going to speak back to you if you talk to them. At a gala event, RPA is checking the guest list, counting tickets and monitoring things like room capacity, heating and lighting.

Meanwhile, Generative AI is creating advertising for the event, writing congratulatory speeches for honorees and having conversations with every guest. It uses large language models (LLMs) to hoover large swaths of available information and create whole texts, images and videos that can be used to create content. Ask a chatbot fueled by generative AI a question and you’ll get a detailed response. It’s got its quirks, but its output is surprisingly human-like.  Read On: